QUANTITATIVE DATA

QUANTITATIVE DATA

1. questionairs

   • advantages : low cost , easy to produce , high relaibily , no horthorn , large smaple size, standardiesed , precode qeustions.
   • disadvantages : only as good as it questions , pre-coded and standerdies could be of putting , no chnace to check vaildity , can be expersnive , low respone rate.

2. structured interviewrs.

   • advantages : standardies question and anwser produce high relible data , potental to precode questions and answers, high respone rate, largle sample size, interviwer there.
   • disadvnatges : only as good as it questions , percoded standires may be of putting, potental for hortorn effect, can be time consauiming.

3. sattistical data :

   • advnatges : chep and easy to acesse , patterns and trends can beseen , large sample size , can be reusbale , they can be checked year by year.
   • disadvantges - can be open to misuse to show what the reseacher want you to show, may be victem of social constuction by the goverment, may not have an overall understanding. low in vaildity, sceondry data hard to varfi.

4. content anaylsis.

   • advantages- it quantifies data , high in reliabilty , its cheap , used in words and images , striaght forward.
   • the intal coding has to be right if it is not right then is can change results, not vaild on it own.